Monitoring method with processing self-adapting function and on-machine quality detection

Abstract

The invention belongs to the technical field of numerical control of electromechanical integration, and relates to a monitoring method with processing self-adapting function and on-machine quality detection. The method comprises the following steps: (1) acquiring the machine tool status signals through a power sensor and a voltage sensor; (2) carrying out the high frequency signal denoising treatment of the acquired data through a wavelet method to obtain the treated power and voltage signals; (3) taking the variable delta af of feed speed af as a systematic adjustment variable and realizing the closed loop feedback fuzzy control of the machining process; and (4) when the procedure of needing checking the geometric information of a workpiece is completed, acquiring the measuring point information, evaluating the error of the machined workpiece, taking the error evaluation data as the information source base of adjustments in the subsequent procedures, and carrying out the self-adapting optimization adjustment of the machining process. The method realizes the self optimization of the numerical program; and the numerical control system can acquire the shape and position error information of the workpiece in time, thereby facilitating the parameter adjustment of the subsequent procedures.

Description

technical field [0001] The invention belongs to the technical field of numerical control of electromechanical integration, and in particular relates to a machine tool processing monitoring method. Background technique [0002] With the development of monitoring technology and numerical control manufacturing industry, more and more scholars have carried out research on the state monitoring and control of the processing process. , force, vibration, current, power, etc.) collection, data analysis and processing. And based on the analysis results, it controls the processing process, evaluates the working conditions of the operating equipment and product processing quality, handles sudden failures in a timely manner, and predicts potential dangers and failures to ensure the safety and smooth progress of processing, and ensure The quality of the processed workpiece. These monitoring technologies and control methods are completed through the interaction of relevant data and infor...

AI Technical Summary

Problems solved by technology

For the follow-up quality inspection of the processed parts, the useless time of loading and unloading often occupies a large amount of invalid time, which affects the efficiency of processing and brings unnecessary troubles to the subsequent process. For this reason, many system developers also Started to integrate the quality inspection function into the CNC system to realize on-machine quality inspection, save the overall processing time, improve efficiency, and ensure the convenience and accuracy of subsequent processing

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